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Efficient Mining of XML Query Patterns for Caching

机译:高效挖掘XML查询模式以进行缓存

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摘要

As XML becomes ubiquitous, the efficient retrieval of XML data becomes critical. Research to improve query response time has been largely concentrated on indexing paths, and optimizing XML queries. An orthogonal approach is to discover frequent XML query patterns and cache their results to improve the performance of XML management systems. In this paper, we present an efficient algorithm called FastXMiner, to discover frequent XML query patterns. We develop theorems to prove that only a small subset of the generated candidate patterns needs to undergo expensive tree containment tests. In addition, we demonstrate how the frequent query patterns can be used to improve caching performance. Experiments results show that FastXMiner is efficient and scalable, and caching the results of frequent patterns significantly improves the query response time.
机译:随着XML的普及,XML数据的有效检索变得至关重要。改善查询响应时间的研究主要集中在索引路径和优化XML查询上。正交方法是发现频繁的XML查询模式并将其结果缓存以提高XML管理系统的性能。在本文中,我们提出了一种称为FastXMiner的高效算法,以发现频繁的XML查询模式。我们开发定理以证明生成的候选模式中只有一小部分需要进行昂贵的树包含测试。此外,我们演示了如何使用频繁查询模式来提高缓存性能。实验结果表明,FastXMiner是高效且可扩展的,并且缓存频繁模式的结果可显着缩短查询响应时间。

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